Visualization of balancing systems based on naïve psychological approaches

In this paper, we propose a novel medium for interactions based on an interpersonal psychological approach referred to as ‘naive psychology’. We adopt the visual assessment of clustering tendency (VAT) to naive psychology for the visual understanding of other people. The VAT algorithm produces a visual display that can be used to assess clustering tendencies in a set of persons (notions) by reconstructing a digital image representation of a square relational dissimilarity matrix for its set. This algorithm clearly represents two types of imbalanced situations in naive psychology: crisp and fuzzy. The visual image of a balanced or imbalance situation is useful for a deeper human understanding.